Create robust, long-running workflows and fault-tolerant business processes with ease.

With built-in tracking and fail-safe recovery, no progress is lost—even during failures.

These workflows are designed to run seamlessly for years, supporting advanced features like calling sub-tasks, durable sleep, waiting for approvals or external events, and running code inline within durable checkpoints — enabling reliable, long-running interactions with external systems such as AI services, APIs, third-party platforms, and enterprise systems.

By combining these capabilities with state management, you can ensure everything is fully tracked, recoverable, and seamlessly integrated into complex business processes, enabling reliable end-to-end control.

Create long-running processes with built-in reliability and state management. By leveraging stateful milestones, users can persist intermediate progress, ensuring no work is lost during failures or automatic retries.

These milestones can seamlessly integrate with stored state, allowing for efficient tracking and recovery without redoing completed work.

This approach combines resource efficiency with fault tolerance, enabling complex operations to recover automatically from the last saved state while ensuring precision and reliability throughout the process.

For a optimal user experience (UX), front-end applications or mobile apps require swift responses for the API.

The user expects a clear and quick response from the application, such as your request has been received successfully. But a lot of tasks can be offloaded from the main execution path. These tasks may be time consuming, taking a lot of resources, implement long-running workflows or be prone to errors and retries.

With Taskurai, you can easily offload tasks without the need of a complete refactor of your application. You can introduce asynchronous patterns and microservices incrementally, making your application more scalable, robust and responsive.

Queue-based load leveling uses a buffer between tasks and services to smooth heavy workloads. This is especially beneficial for external services vulnerable to failures during peaks or subject to rate limits.

It helps prevent additional costs by managing occasional spikes without requiring pricier plans.

The approach ensures system reliability, cost-effectiveness, and responsiveness to user demands.